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Merge pull request #50376 from MicrosoftDocs/NEW-get-started-ai-information-extraction
New get started ai information extraction
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.introduction
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title: Introduction
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metadata:
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title: Introduction
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description: Introduction
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/1-introduction.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.azure-ai-services
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title: Azure AI services for information extraction
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metadata:
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title: Azure AI services for information extraction
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description: Choose the right Azure AI service for information extraction.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/2-azure-ai-services.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.azure-ai-vision
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title: Extract information with Azure AI Vision
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metadata:
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title: Extract information with Azure AI Vision
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description: Use Azure AI Vision to extract information from images.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/3-azure-ai-vision.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.content-understanding
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title: Extract multimodal information with Azure AI Content Understanding
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metadata:
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title: Extract multimodal information with Azure AI Content Understanding
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description: Use Azure AI Content Understanding to extract multimodal information.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/4-content-understanding.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.document-intelligence
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title: Extract information from forms with Azure AI Document Intelligence
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metadata:
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title: Extract information from forms with Azure AI Document Intelligence
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description: Use Azure AI Document Intelligence to extract information from forms.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/5-document-intelligence.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.ai-search
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title: Create a knowledge mining solution with Azure AI Search
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metadata:
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title: Create a knowledge mining solution with Azure AI Search
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description: Use Azure AI Search to create a knowledge mining solution.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 5
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content: |
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[!include[](includes/6-ai-search.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.exercise
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title: Exercise - Extract information
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metadata:
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title: Exercise - Extract information
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description: Use Azure AI to extract information from content
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 30
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content: |
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[!include[](includes/7-exercise.md)]
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.knowledge-check
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title: Module assessment
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metadata:
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title: Module assessment
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description: Knowledge check
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 3
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quiz:
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title: "Check your knowledge"
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questions:
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- content: "Which service should you use to build a mobile app with which a user can take a photograph of a street sign and extract text to send to a translation service?"
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choices:
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- content: "Azure AI Vision Image Analysis"
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isCorrect: true
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explanation: "Correct. Azure AI Vision Image Analysis uses OCR to extract text from images."
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- content: "Azure AI Content Understanding"
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isCorrect: false
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explanation: "Incorrect. Azure AI Content Understanding uses a schema to extract data from multimodal content."
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- content: "Azure AI Document Intelligence"
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isCorrect: false
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explanation: "Incorrect. Azure AI Document Intelligence is used to extract fields and values from complex forms and documents."
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- content: "Which service should you use to analyze a recording of a customer service call to extract key points that were discussed?"
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choices:
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- content: "Azure AI Vision Image Analysis"
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isCorrect: false
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explanation: "Incorrect. Azure AI Vision Image Analysis uses OCR to extract text from images."
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- content: "Azure AI Content Understanding"
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isCorrect: true
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explanation: "Correct. Azure AI Content Understanding uses a schema to extract data from multimodal content."
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- content: "Azure AI Document Intelligence"
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isCorrect: false
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explanation: "Incorrect. Azure AI Document Intelligence is used to extract fields and values from complex forms and documents."
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- content: "Which service should you use to extract fields from standard US tax forms for automated processing?"
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choices:
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- content: "Azure AI Vision Image Analysis"
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isCorrect: false
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explanation: "Incorrect. Azure AI Vision Image Analysis uses OCR to extract text from images."
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- content: "Azure AI Content Understanding"
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isCorrect: false
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explanation: "Incorrect. Azure AI Content Understanding uses a schema to extract data from multimodal content."
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- content: "Azure AI Document Intelligence"
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isCorrect: true
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explanation: "Correct. Azure AI Document Intelligence is used to extract fields and values from complex forms and documents."
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### YamlMime:ModuleUnit
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uid: learn.wwl.ai-information-extraction.summary
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title: Summary
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metadata:
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title: Summary
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description: Summarize what you've learned about information extraction.
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author: graememalcolm
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ms.author: gmalc
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ms.date: 05/11/2025
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ms.topic: unit
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ms.collection:
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- wwl-ai-copilot
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durationInMinutes: 1
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content: |
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[!include[](includes/9-summary.md)]
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AI-powered information extraction and analysis enables organizations to gain actionable insights from data that might otherwise be locked up in documents, images, audio files, or other assets.
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![Diagram of information being extracted from documents.](../media/information-extraction.png)
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Examples of information extraction scenarios include:
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- A company needs to process employee expense claims, and has to extract expense descriptions and amounts from scanned receipts.
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- A customer service agency wants to analyze recorded support calls to identify common problems and resolutions.
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- A historical society needs to extract and store data from census records in scanned historical documents.
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- A tourist organization wants to analyze video footage and images taken at popular sites to help estimate visitor volumes and improve capacity planning for tours.
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- A finance department in a large corporation wants to automate accounts-payable processing by routing invoices received centrally to the appropriate departments for payment.
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- A marketing organization wants to analyze a large volume of digital images and documents, extracting and indexing the extracted data so it can be easily searched.
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Azure AI includes multiple services that can be used, individually or in combination, so support these kinds of information extraction scenarios. In this module, we'll explore some of these services and their capabilities.

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